Jean Selim

Inserm, Université de Rouen Normandie

Papers

8

Total Citations

167

H-Index

8

About

Jean Selim is a prominent thoracic surgeon and clinical researcher whose work sits at the intersection of minimally invasive lung surgery, perioperative anesthesia, and surgical innovation. His research has significantly advanced understanding of video-assisted thoracoscopic surgery (VATS) and robotic-assisted thoracoscopic surgery (RATS), with landmark contributions comparing their long-term oncological outcomes in non-small cell lung cancer patients — work that has garnered over 31 citations and continues to inform surgical decision-making worldwide. Selim has made notable strides in optimizing perioperative care, particularly through his highly cited propensity score study on opioid-free anesthesia following thoracic surgery (47 citations), and his comparative analyses of regional anesthetic techniques including erector spinae plane and paravertebral blocks. His investigations into functional preoperative testing — demonstrating that the 6-minute stepper and sit-to-stand tests reliably predict postoperative complications — offer practical, accessible tools for surgical teams. Beyond outcomes research, Selim has tackled the economic realities of robotic surgery adoption, evaluating the learning curve costs of robotic segmentectomy, and championed simulation-based crisis training to enhance safety in robotic thoracic procedures. His cumulative body of work, spanning surgical technique, patient safety, and healthcare economics, positions him as a forward-thinking voice shaping the future of thoracic oncology care.

Research Focus

Key Achievements

8
H-Index
8
Papers
167
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Impact of Opioid-free Anesthesia After Video-assisted Thoracic Surgery: A Propensity Score Study
47 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 42
🏛 Institutions: Inserm, Université de Rouen Normandie

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago